摘要 :
In wireless sensor network (WSN), a collection of nodes interacts with each other to gather information from the surveillance area. Some of the applications that WSN are currently being used are habitat monitoring, health care sys...
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In wireless sensor network (WSN), a collection of nodes interacts with each other to gather information from the surveillance area. Some of the applications that WSN are currently being used are habitat monitoring, health care system and building automation, to name a few. Wireless Biomedical Sensor Network (WBSN) allows capturing of physiological signals, continuous monitoring and updating of a patient's medical status remotely. This paper focuses on the development of a wireless sensor node testbed for WBSN application which complies with IEEE 802.15.4 standard and operates in 2.4 GHz ISM (industrial, scientific and medical) band. The initial state of WBSN development is the design of the wireless sensor node called TelG. The main features of TelG include low power consumption, wearable, flexible and small size. It is then embedded with a self-built operating system called WiseOS to support customized operations. A pulse oximeter is then integrated with TelG for the purpose of experimentation. The testbed performance is analyzed in terms of packet reception rate (PRR) and end-to-end delay. The results exhibit a decrease in PRR as distance increases and increasing network delay with increasing number of hops. It is also observed that received signal using the testbed is satisfactory for distances less than 10 meters per hop.
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摘要 :
In wireless sensor network (WSN), a collection of nodes interacts with each other to gather information from the surveillance area. Some of the applications that WSN are currently being used are habitat monitoring, health care sys...
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In wireless sensor network (WSN), a collection of nodes interacts with each other to gather information from the surveillance area. Some of the applications that WSN are currently being used are habitat monitoring, health care system and building automation, to name a few. Wireless Biomedical Sensor Network (WBSN) allows capturing of physiological signals, continuous monitoring and updating of a patient's medical status remotely. This paper focuses on the development of a wireless sensor node testbed for WBSN application which complies with IEEE 802.15.4 standard and operates in 2.4 GHz ISM (industrial, scientific and medical) band. The initial state of WBSN development is the design of the wireless sensor node called TelG. The main features of TelG include low power consumption, wearable, flexible and small size. It is then embedded with a self-built operating system called WiseOS to support customized operations. A pulse oximeter is then integrated with TelG for the purpose of experimentation. The testbed performance is analyzed in terms of packet reception rate (PRR) and end-to-end delay. The results exhibit a decrease in PRR as distance increases and increasing network delay with increasing number of hops. It is also observed that received signal using the testbed is satisfactory for distances less than 10 meters per hop.
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摘要 :
The enormous growth of smart devices, applications have moved Wireless Fidelity (WiFi) from a nascent stage to a widely accepted technology. However, WiFi has not been able to use its full potential because of various reasons such...
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The enormous growth of smart devices, applications have moved Wireless Fidelity (WiFi) from a nascent stage to a widely accepted technology. However, WiFi has not been able to use its full potential because of various reasons such as low range, dynamic environment, shared spectrum, distributed design, and dense deployments. Therefore, there is a need to make WiFi network more reliable, effective, and manageable. Machine Learning (ML) algorithms are making way to utilize large volumes of data generated to monitor and manage large wireless networks. In this paper, we propose data driven sensing and analysis framework for making WiFi networks efficiently manageable. Our proposed framework referred as WiNetSense can be used to monitor and analyze the network features that are affecting the wireless links and also the network. We also propose a novel mobility estimation method using WiNetSense, which requires as minimum as two Access Points (APs) only to estimate the WiFi station's (STA) position and mobility. This knowledge can be used to trigger end user specific decisions such as smooth hand-off, load balancing, efficient mobility management, and dynamic power control.
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摘要 :
The enormous growth of smart devices, applications have moved Wireless Fidelity (WiFi) from a nascent stage to a widely accepted technology. However, WiFi has not been able to use its full potential because of various reasons such...
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The enormous growth of smart devices, applications have moved Wireless Fidelity (WiFi) from a nascent stage to a widely accepted technology. However, WiFi has not been able to use its full potential because of various reasons such as low range, dynamic environment, shared spectrum, distributed design, and dense deployments. Therefore, there is a need to make WiFi network more reliable, effective, and manageable. Machine Learning (ML) algorithms are making way to utilize large volumes of data generated to monitor and manage large wireless networks. In this paper, we propose data driven sensing and analysis framework for making WiFi networks efficiently manageable. Our proposed framework referred as WiNetSense can be used to monitor and analyze the network features that are affecting the wireless links and also the network. We also propose a novel mobility estimation method using WiNetSense, which requires as minimum as two Access Points (APs) only to estimate the WiFi station's (STA) position and mobility. This knowledge can be used to trigger end user specific decisions such as smooth hand-off, load balancing, efficient mobility management, and dynamic power control.
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摘要 :
In traditional wireless sensor networks, the users, the sink nodes and sensor nodes are considered to be static, and networks are organized by the form of single-layer planar, which can not adapt to the application of the sensor n...
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In traditional wireless sensor networks, the users, the sink nodes and sensor nodes are considered to be static, and networks are organized by the form of single-layer planar, which can not adapt to the application of the sensor nodes with mobility. This article starts from the network architecture, introduces the architecture of traditional wireless sensor network, and takes account of the application scenario of mobile sensor nodes. Then we propose architecture of wireless sensor network with mobile sensor nodes. The architecture is divided into high-end node layer and low-end node layer. The high-end nodes are responsible for the data routing, and the low-end nodes are responsible for sensing and reporting data so that the mobile sensor nodes can be freed from the complicated routing calculation and implementation, and improve the network performance effectively. The simulation results show that the hierarchical mobile wireless sensor network can effectively reduce the energy consumption of sensor nodes and data transmission delay.
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摘要 :
In traditional wireless sensor networks, the users, the sink nodes and sensor nodes are considered to be static, and networks are organized by the form of single-layer planar, which can not adapt to the application of the sensor n...
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In traditional wireless sensor networks, the users, the sink nodes and sensor nodes are considered to be static, and networks are organized by the form of single-layer planar, which can not adapt to the application of the sensor nodes with mobility. This article starts from the network architecture, introduces the architecture of traditional wireless sensor network, and takes account of the application scenario of mobile sensor nodes. Then we propose architecture of wireless sensor network with mobile sensor nodes. The architecture is divided into high-end node layer and low-end node layer. The high-end nodes are responsible for the data routing, and the low-end nodes are responsible for sensing and reporting data so that the mobile sensor nodes can be freed from the complicated routing calculation and implementation, and improve the network performance effectively. The simulation results show that the hierarchical mobile wireless sensor network can effectively reduce the energy consumption of sensor nodes and data transmission delay.
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The role of wireless sensing technologies in industrial instrumentation will undoubtedly become more important in the years ahead. . Deployment of such instrumentation in an industrial setting - with its heightened security and ro...
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The role of wireless sensing technologies in industrial instrumentation will undoubtedly become more important in the years ahead. . Deployment of such instrumentation in an industrial setting - with its heightened security and robustness criteria - hinges on user acceptance of verified performance as well as meeting cost requirements. Today, industrial users face many choices when specifying a wireless sensor network, including radio performance, battery life, interoperability, security, and standards compliance. The potential market for industrial wireless sensors is literally millions of wireless instruments and it is imperative that accurate information for applying the technology to real-world applications be available to the end-user so that they can make informed deployment decisions. The majority of industrial wireless automation designs now being deployed or being considered for deployment are based on three different "standards". The HART Communications Foundation's WirelessHART ™ (IEC 62591), the International Society of Automation's ISA100.11a, and the offering from the Industrial Wireless Alliance of China known as WIA-PA (IEC 62601). Aside from these industrial automation standards, users must also be cognizant of the underlying wireless network standards IEEE 802.11, IEEE 802.15.4, and IEEE 802.15.3a and their interactions with the three principal industrial automation protocols mentioned previously. The crucial questions being asked by end users revolve around sensor network performance, interoperability, reliability, and security. This paper will discuss potential wireless sensor applications in power plants, barriers to the acceptance of wireless technology, concerns related to standards, and provide an end user prospective on the issues affecting wide-spread deployment of wireless sensors. Finally, the authors conclude with a discussion of a recommended path forward including how standards organizations can better facilitate end user decision making and how end users can locate and use objective information for decision making.
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摘要 :
The role of wireless sensing technologies in industrial instrumentation will undoubtedly become more important in the years ahead. Deployment of such instrumentation in an industrial setting - with its heightened security and robu...
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The role of wireless sensing technologies in industrial instrumentation will undoubtedly become more important in the years ahead. Deployment of such instrumentation in an industrial setting - with its heightened security and robustness criteria - hinges on user acceptance of verified performance as well as meeting cost requirements. Today, industrial users face many choices when specifying a wireless sensor network, including radio performance, battery life, interoperability, security, and standards compliance. The potential market for industrial wireless sensors is literally millions of wireless instruments and it is imperative that accurate information for applying the technology to real-world applications be available to the end-user so that they can make informed deployment decisions. The majority of industrial wireless automation designs now being deployed or being considered for deployment are based on three different "standards". The HART Communications Foundation's WirelessHART (IEC 62591), the International Society of Automation's ISA100.11a, and the offering from the Industrial Wireless Alliance of China known as WIA-PA (IEC 62601). Aside from these industrial automation standards, users must also be cognizant of the underlying wireless network standards IEEE 802.11, IEEE 802.15.4, and IEEE 802.15.3a and their interactions with the three principal industrial automation protocols mentioned previously. The crucial questions being asked by end users revolve around sensor network performance, interoperability, reliability, and security. This paper will discuss potential wireless sensor applications in power plants, barriers to the acceptance of wireless technology, concerns related to standards, and provide an end user prospective on the issues affecting wide-spread deployment of wireless sensors. Finally, the authors conclude with a discussion of a recommended path forward including how standards organizations can better facilitate end user decision making and how end users can locate and use objective information for decision making.
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Most of the existing routing protocols for Wireless Sensor Networks (WSN) consider homogeneous nodes wherein all sensor nodes have the same capabilities in terms of sensing, communication and computation capabilities. However, a h...
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Most of the existing routing protocols for Wireless Sensor Networks (WSN) consider homogeneous nodes wherein all sensor nodes have the same capabilities in terms of sensing, communication and computation capabilities. However, a homogeneous sensor network may suffer from poor performance and scalability. This paper presents an ant-based QoS routing protocol for Heterogeneous Wireless Sensor Networks (HWSN). The key feature of the protocol is its ability to meet diverse QoS requirements posed by different kinds of traffic generated due to heterogeneous nature of nodes thus maximizing network performance and its utilization. We have evaluated and compared the proposed novel solution with EEABR and AODV for environments of dynamic topology.
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摘要 :
Most of the existing routing protocols for Wireless Sensor Networks (WSN) consider homogeneous nodes wherein all sensor nodes have the same capabilities in terms of sensing, communication and computation capabilities. However, a h...
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Most of the existing routing protocols for Wireless Sensor Networks (WSN) consider homogeneous nodes wherein all sensor nodes have the same capabilities in terms of sensing, communication and computation capabilities. However, a homogeneous sensor network may suffer from poor performance and scalability. This paper presents an ant-based QoS routing protocol for Heterogeneous Wireless Sensor Networks (HWSN). The key feature of the protocol is its ability to meet diverse QoS requirements posed by different kinds of traffic generated due to heterogeneous nature of nodes thus maximizing network performance and its utilization. We have evaluated and compared the proposed novel solution with EEABR and AODV for environments of dynamic topology.
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